Sentence examples for model parameters instead from inspiring English sources

The suggested procedure is to run the larger model or simulation on the synthetic (and then the confidential data), and request release of the simulated model parameters instead of the underlying moment table.

Finally, we should also mention the systems developed by Ezzat et al. [11] and Theobald et al. [12], where the visual speech database is projected onto a model space (e.g., shape and appearance parameters [13]) and where the output speech is constructed by selecting and concatenating model parameters instead of actual frames.

This can be explained by the fact that Arrhenius models contain only two free model parameters instead of three in the polynomial models.

After AR modeling, AR spectral analysis estimates the spectrum, with model parameters instead of original data, using the following equation: (2) where σε is the variance of white noise; α k are parameters defined in Equation (1).

In general, most authors do not adjust the value of K based on their model parameters and instead apply a constant K value.

To evaluate the constraints, we used, as earlier, a set of perturbations, but this time investigating hybrid model parameters directly instead of translating the result to original model parameters.

The second problem is that the model would have 6 parameters instead of 4, which would significantly reduce the potential for successful parameter estimation.

The model uses only six parameters, instead of the 11 needed for completely arbitrary month effects, separating seasonal components from other influences.

The advantage of fitting a growth model described by several parameters, instead of simply analysing one endpoint, is that it provides a more detailed understanding of how salinity affects complex and dynamic growth patterns.

To highlight the effect of varying fracture spacing, this model uses matrix domain storativity parameters instead of the fracture storativity parameter introduced by Warren and Root.

As described above, modelling of mutational / selection biases in RNA therefore considers each dinucleotide separately (e.g. the frequency of UpC does not necessarily equal the frequency of GpA and as described in the previous section, mutations occurring in both upstream and downstream dinucleotide contexts have to be modelled separately, creating a total of 96 instead of 48 model parameters.